Minimization of Ambiguities in Software Requirements Specification

Abstract

The most important aspects for software development are the software requirements. They are the foundation stone for initiating any software development process. Software requirements documents contain the needs of the customers in natural language.  The content of the software requirement can be checked manually by using various methods like reviews, inspections and walkthroughs. In recent years there is an attempt to automate these activities as a result of advancement in automation of natural language analysis. Automation of text mining techniques and text analysis is leading to feasibility of automation of requirements documents processing.  The process can be completed in minutes now which were taking weeks earlier. Automation of analysis of text has triggered numerous possibilities for quality assurance of requirements. The possibilities of automation are model checking automation, automated rule checking, automated test case execution and measurement automation. In future more tools will enter the scene for automation of requirements quality assurance. At present most of them are in experimental stage. There is a definite need for more research on how to measure and quality assurance of requirements.